Zobrazeno 1 - 10
of 760
pro vyhledávání: '"Jiang, WeiDong"'
Recently, introducing Tensor Decomposition (TD) methods into unsupervised feature selection (UFS) has been a rising research point. A tensor structure is beneficial for mining the relations between different modes and helps relieve the computation bu
Externí odkaz:
http://arxiv.org/abs/2407.16985
Optimization of slow-time transmit sequence endows cognitive radar with the ability to suppress strong clutter in the range-Doppler domain. However, in practice, inaccurate target velocity information or random phase error would induce uncertainty ab
Externí odkaz:
http://arxiv.org/abs/2404.10388
Mainstream DNN-based SAR-ATR methods still face issues such as easy overfitting of a few training data, high computational overhead, and poor interpretability of the black-box model. Integrating physical knowledge into DNNs to improve performance and
Externí odkaz:
http://arxiv.org/abs/2403.03527
In the field of unsupervised feature selection, sparse principal component analysis (SPCA) methods have attracted more and more attention recently. Compared to spectral-based methods, SPCA methods don't rely on the construction of a similarity matrix
Externí odkaz:
http://arxiv.org/abs/2309.06202
Radars, due to their robustness to adverse weather conditions and ability to measure object motions, have served in autonomous driving and intelligent agents for years. However, Radar-based perception suffers from its unintuitive sensing data, which
Externí odkaz:
http://arxiv.org/abs/2307.08233
Machine learning and deep learning classification models are data-driven, and the model and the data jointly determine their classification performance. It is biased to evaluate the model's performance only based on the classifier accuracy while igno
Externí odkaz:
http://arxiv.org/abs/2211.05433
In order to improve the ability of cognitive radar (CR) to adapt to the environment, the required ambiguity function (AF) can be synthesized by designing the waveform. The key to this problem is how to minimize the interference power. Suppressing the
Externí odkaz:
http://arxiv.org/abs/2209.03806
Autor:
Jiang, Weidong, Hong, Shebin, Liu, Kai, Qi, Lei, Zhu, Peiqi, Wang, Xiaofeng, Sun, Hao, Wu, Hao, Cao, Jian, Lin, Kaili, Wang, Xudong
Publikováno v:
In Chemical Engineering Journal 15 September 2024 496
Autor:
Xu, Bin, Wang, Xiuyang, Ni, Tong, Zhao, Degang, Liu, Xiaoqiang, Zhou, Shengbin, Zhang, Kaiming, Jiang, Weidong
Publikováno v:
In Colloids and Surfaces A: Physicochemical and Engineering Aspects 5 November 2024 700
Autor:
Deng, Xiaoling, Fu, Zeyu, Jiang, Shengjie, Chen, Xiaokun, Cui, Jinjie, Zhang, Jian, Yang, Shengbing, Liang, Yakun, Jiang, Weidong, Li, Dejian, Lin, Kaili, Wang, Xin
Publikováno v:
In Nano Energy November 2024 130